Anton Nikonov

01:44:39

AI Lecture 14 / part 6 - Multimodal LLM and AI assistents

01:13:55

AI Lecture 14 / part 5 - General visual models

13:34

AI Lecture 14 / part 4 - General visual models

49:40

AI lecture 14 - part 3: Visual generation models

58:54

AI Lecture 14 - part 2 - Visual understanding models

26:15

AI Lecture 14 - part 1 - Visual AI foundation models

35:48

Adaptive Control - Lecture 7 / part 2 - Adaptive control based on identification

41:12

Adaptive Control - Lecture 7 / part 3 - Implementation of adaptive control with model identification

46:45

Neural nets practice - exercise 1 - part 2 - template overview

36:07

Neural nets practice - exercise 1 - part 1 - PyTorch overview

25:55

AI Lecture 3 - part 4 / 2022 update

33:08

AI Lecture 3 - part 5 / 2022 update

03:52

AI Lecture 3 - part 3 / 2022 update

41:30

Adaptive Control - Lecture 1 / part 3: PID control Software & Hardware

35:04

Adaptive Control - Lecture 1 / part 2: PID patents review

11:06

Adaptive control - Lecture 1 / part 1: Course Intro

01:06:38

AI lecture 10 - analogies, neural networks and evolution algorithms

39:09

AI Lecture 9 / part 3 - PyMc3

30:42

AI Lecture 9 / part 2 - Bayes networks

30:55

Lecture 9 / part 1 - Bayes Logic

23:29

AI lecture 7 / part 2 - Jena framework

31:28

AI lecture 7 / part 1 - RDF graphs

36:41

AI lecture 8 / part 1 - Bayes intro

35:14

AI Lecture 6 - Prolog language